. . . "RIV/61989100:27510/13:86087394" . "[E4956DF178DD]" . "Response patterns from test, questionnaires, or other kind of evaluation instruments can give important information about latent variables which cannot be directly observed, such as the \u201Cability\u201D of the respondent individuals. The study of similarity between response patterns leads to a classification of the respondents that can explain the latent variable under a new perspective. There are several known similarity measures, mostly developed in fields such as the bibliometric and scientometric research, which are based on co-occurrences between \u201Cobjects\u201D, and satisfy certain properties which unfortunately don\u2019t suit to our problem. Taking inspiration from these measures, we propose a class of similarity measures for response patterns on dichotomously scored items. This study is meant as an example of applying these measures within the item response theory framework, and as a critical assessment of the usefulness of this approach. Our method focuses on the position of respondents in the multidimensional space spanned by the aggregated subject-subject co-occurrences. A number of choices/parameters can be left to the user, but we provide default options reflecting our preferences."@en . "College of Polytechnics Jihlava" . . "6"^^ . "Rasch model; map; similarity"@en . . . . . . "Similarity measures for response patterns on dichotomously scored items"@en . "105107" . "P(EE2.3.30.0016)" . . "27510" . "Lando, Tommaso" . . . . . . "Lando, Tommaso" . "978-80-87035-76-4" . "Bertoli-Barsotti, Lucio" . "Response patterns from test, questionnaires, or other kind of evaluation instruments can give important information about latent variables which cannot be directly observed, such as the \u201Cability\u201D of the respondent individuals. The study of similarity between response patterns leads to a classification of the respondents that can explain the latent variable under a new perspective. There are several known similarity measures, mostly developed in fields such as the bibliometric and scientometric research, which are based on co-occurrences between \u201Cobjects\u201D, and satisfy certain properties which unfortunately don\u2019t suit to our problem. Taking inspiration from these measures, we propose a class of similarity measures for response patterns on dichotomously scored items. This study is meant as an example of applying these measures within the item response theory framework, and as a critical assessment of the usefulness of this approach. Our method focuses on the position of respondents in the multidimensional space spanned by the aggregated subject-subject co-occurrences. A number of choices/parameters can be left to the user, but we provide default options reflecting our preferences." . "2013-09-11+02:00"^^ . "RIV/61989100:27510/13:86087394!RIV14-MSM-27510___" . . "Jihlava" . "2"^^ . "Similarity measures for response patterns on dichotomously scored items" . "Similarity measures for response patterns on dichotomously scored items"@en . "Jihlava" . "Mathematical Methods in Economics 2013 : 31st international conference : 11-13 September 2013, Jihlava, Czech Republic" . "Similarity measures for response patterns on dichotomously scored items" . "1"^^ .